Download e-book for iPad: Applied Functional Data Analysis: Methods and Case Studies by J.O. Ramsay

By J.O. Ramsay

"What do juggling, outdated bones, felony careers, and human development styles have in universal? all of them supply upward thrust to practical info, which are available the shape of curves or capabilities instead of the numbers, or vectors of numbers, which are thought of in traditional information. The authors' publication practical information research (1997) offered a thematic method of the statistical research of such facts. against this, the current ebook introduces and explores the information of useful facts research by way of the honor of a couple of case experiences, a lot of them offered for the 1st time. the 2 books are complementary, yet nor is a prerequisite for the opposite. The case experiences are available to investigate employees in quite a lot of disciplines. each reader, even if skilled researcher or graduate pupil, should still achieve not just a selected realizing of the tools of sensible information research, yet, extra importantly, a normal perception into the underlying styles of idea. the various experiences call for the improvement of novel features of the method of practical information research, yet technical info geared toward the professional statistician are restrained to sections that the extra normal reader can appropriately disregard. there's an linked website with MATLAB and S-PLUS implementations of the tools mentioned, including all of the information units that aren't proprietary.

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At times throughout the book illustrations are made through computer code, with examples in GUM, MINIT AB and BASIC. A review of relevant programs and packages is given in Appendix E. 8 Exercises and complements The exercises vary in complexity. It is particularly desirable to attempt the five exercises marked with a t. Exercises marked with a * are generally more difficult or speculative. 1 Identify at least three examples of quantal response data which do not arise from toxicology or efficacy studies.

7 and Chapter 4. Note finally that much of the material that follows can be thought of as building blocks and these may be combined as appropriate for any particular problem, in ways which are not covered in this book. The main texts in the area are those by: Aldrich and Nelson (1984), Ashton (1972), Cox and Snell (1989), Cramer (1991), Dobson (1990), Finney (1971, 1978), Govindarajulu (1988), Hubert (1992), Plackett and Hewlett (1979) and Salsburg (1986). Relevant material is also to be found in Agresti (1984), Bishop et al.

2. A review is given by Armitage (1982). This is clearly an area where different models can give quite different predictions. While a model based on the logistic distribution, say, may provide a satisfactory fit to data, as judged perhaps by a chi-square goodness-of-fit test, significant improvements may result from fitting more complex models such as that of Prentice, described above. Improvements of fit may typically be anticipated in the tail areas, and so be particularly important for extrapolation.

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Applied Functional Data Analysis: Methods and Case Studies by J.O. Ramsay


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